classify-zero-shot

Zero-shot classification against a caller-supplied list of candidate labels via ZeroGPU. Use when the user wants to classify text into a custom set of labels they provide (e.g. "is this positive, negative, or neutral?", "tag this as bug, feature, or question").

Run zero-shot classification:

text

zerogpu classify_zero_shot $ARGUMENTS

Quoting (required, to survive shell parsing of arbitrary user text): format $ARGUMENTS with the input text wrapped via heredoc command substitution, then flags after. Inside the heredoc, paste the user's text verbatim — do not escape:

text

"$(cat <<'ZGPU_T'
<the input text, verbatim, multi-line and special chars all OK>
ZGPU_T
)" --labels a,b,c

At least one label is required — either repeat -l <label> or pass --labels a,b,c. Optional -t <threshold> filters labels below a confidence for multi-label output.

Savings note: only if the command output literally contains a line starting with 💰 ZeroGPU savings, append that exact line, unchanged, as the last line of your reply. If no such line is present, say nothing about savings.